A review on medical imaging synthesis using deep learning and its clinical applications
Tonghe Wang, Yang Lei, Yabo Fu, Jacob Wynne, Walter J. Curran, Tian Liu, Xiaofeng Yang
Abstract
This paper reviewed the deep learning-based studies for medical imaging synthesis and its clinical application. Specifically, we summarized the recent developments of deep learning-based methods in inter- and intra-modality image synthesis by listing and highlighting the proposed methods, study designs, and reported performances with related clinical applications on representative studies. The challenges among the reviewed studies were then summarized with discussion.
Topics & Concepts
Deep learningComputer scienceModality (human–computer interaction)Artificial intelligenceMedical physicsListing (finance)Medical imagingData scienceMachine learningMedicineEconomicsFinanceCell Image Analysis TechniquesAI in cancer detectionRadiomics and Machine Learning in Medical Imaging